University of Illinois at Urbana-Champaign
Lecture 01 | Aug. 22, 2022
Introduction to dynamics of mechanical systems
Syllabus reading
Examples
Provide an overview of the course
Introduce course staff and policy
Brief glimpse into the class
Ph.D. candidate
Control theory and machine learing research
Advanced Control Research Lab
MechSE
Hold office hours (Starting from Week 2)
Manage online chat (Slack)
Grade homework and exams (Grader: TBD)
Name | Time | Location |
---|---|---|
Wenbin Wan | Mon 2 p.m. - 3 p.m. | TBA |
Guillermo Colin Navarro | Tue 5 p.m. - 7 p.m. | TBD |
Pranav Bhandari | Thu 6 p.m. - 8 p.m. | TBD |
Dynamics: TAM 212
Differential Equations: Any of MATH 285, MATH 286, MATH 441
Linear Algebra: MATH 257, MATH 415 (credit or concurrent registration)
Circuits: ECE 205 (credit or concurrent registration)
R. Esfandiari and B. Lu (2018)
Modeling and Analysis of Dynamic Systems
CRC Press.
Assessment | Credit | Comment |
---|---|---|
HW assignments | 45% | 10 HWs |
Labs | 15% | Compulsory |
Quizzes | 10% | Time: TBA |
Midterm | 10% | Time: TBA |
Final Exam | 20% | Time: TBA |
Extra Credit | 5% | TBA |
The total percentage
correspnds to final grades as follows
[92%, 105%],
[80%, 92%),
[70%, 80%),
[60%, 70%), and
[0%, 60%).[ME340]{your subject here}
Dynamics
Studying systems
Many models of dynamic systems are Ordinary Differential Equations (ODEs)
by Newton's law of cooling.
and
(ambient temp.), then we have the follow ODE
% let control input be zero: u (t) = 0
function dy = tempDynamics(t,y)
dy = -y + 15;
end
_
y_0 = 0; % initial condition
tspan = [0 10]; % time interval
[t,y]=ode45(@tempDynamics, tspan, y_0); % Solve ODE
plot(t,y)
% plot all in one fig.